{"id":"W6980013107","doi":"","title":"ARCHIVEIT-1830-NONE-DLOONA-20111121161732-00004-crawling202.us.archive.org-6682.warc.gz","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Work (physics); Process (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001112509,0.002538032,0.001330765,0.007691097,0.002073122,0.006055361,0.002562369,0.001827464,0.7213627],"category_scores_gemma":[0.009025161,0.001937475,0.0009313537,0.00983787,0.0006478525,0.003840303,0.003961151,0.001365558,0.8556482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002888589,"about_ca_system_score_gemma":0.002889558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0793824,"about_ca_topic_score_gemma":0.09947545,"domain_scores_codex":[0.9989667,0.00008133228,0.00006399253,0.0001958117,0.0004964153,0.0001957996],"domain_scores_gemma":[0.9935424,0.0007805706,0.0002244027,0.002031134,0.002513679,0.0009078083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002792961,0.00001227978,0.0001638193,0.00009361502,0.000004431882,0.000008835116,0.00003462065,0.00003758075,0.0001354669,0.0003940308,0.9868087,0.01227871],"study_design_scores_gemma":[0.00002901938,0.000007060863,0.001088774,0.0000600353,0.000004232525,0.0000321979,0.00004165859,0.0001678507,0.0007267962,0.0003697379,0.9974508,0.00002180003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006530131,0.0002614136,0.003376959,0.0004942118,0.0002573307,0.0002101644,0.5854754,0.1483765,0.260895],"genre_scores_gemma":[0.002618271,0.0003874523,0.005116249,0.0003847716,0.00009128031,0.0002215943,0.6032018,0.08885659,0.299122],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2786373,"threshold_uncertainty_score":0.3974423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009338311291159938,"score_gpt":0.1921353243059997,"score_spread":0.1827970130148398,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}